作者:
A.K. OjhaD.B. KochCommunications
Information and Signal Processing Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA
Power-limited radar systems generally employ some form of pulse compression or waveform coding to improve range resolution. Frank polyphase coded waveforms have been used in the past for pulse compression in high reso...
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Power-limited radar systems generally employ some form of pulse compression or waveform coding to improve range resolution. Frank polyphase coded waveforms have been used in the past for pulse compression in high resolution radars. This paper evaluates the impact of Swerling I and Swerling II target scintillation models in the presence of additive white Gaussian noise (AWGN) on the resolution properties of Frank coded waveforms. The results presented in this paper bear out the interesting fact that the use of an appropriate model is highly desirable to avoid misleading results.
作者:
A.K. OjhaD.B. KochCommunications
Information and Signal Processing (CISP) Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA
The authors evaluate the impact of Swerling I and Swerling II target scintillation models in the presence of additive white Gaussian noise on the resolution properties of pseudonoise (PN) sequence coded waveforms. The...
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The authors evaluate the impact of Swerling I and Swerling II target scintillation models in the presence of additive white Gaussian noise on the resolution properties of pseudonoise (PN) sequence coded waveforms. There are two major factors which significantly affect the performance of radar systems. The first well-known factor is noise, ambient or intentional. The second factor is due to the variation in the echo signal with time: this is also called target fluctuation or scintillation. The effect due to each of these factors has been incorporated into the performance evaluation procedure by applying appropriate statistical models to the problem. The results presented bear out the fact that the use of an appropriate model is highly desirable to avoid misleading results.< >
作者:
A.K. OjhaD.B. KochCommunications
Information and Signal Processing (CISP) Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA
Phase coding and linear frequency modulation in analog or discrete form are widely used in power-limited radar systems for pulse compression to achieve high range resolution. Such coded waveforms are detected by appro...
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Phase coding and linear frequency modulation in analog or discrete form are widely used in power-limited radar systems for pulse compression to achieve high range resolution. Such coded waveforms are detected by appropriately matched filtering of the in-phase and the quadrature samples derived from the received signal. Complementary codes have generated such interest in the area of high-resolution radar signal design. There are, however, no published results to judge the robustness of this coding scheme in the presence of quadrature channel imbalance. Monte Carlo simulation results are presented to fill this gap. It is concluded from the results that although the degradation in the case of complementary codes increases more rapidly than for Frank codes, complementary-coded waveforms have better overall performance than Frank-coded waveforms in the presence of sampling errors.< >
The problem of defining an appropriate measure of the degree of nonstationarity for stochastic processes that exhibit cyclostationarity is addressed. After discussing several candidate measures of degree of nonstation...
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The problem of defining an appropriate measure of the degree of nonstationarity for stochastic processes that exhibit cyclostationarity is addressed. After discussing several candidate measures of degree of nonstationarity, one particularly promising measure is adopted. By decomposing this measure, several component measures are arrived at. Bounds on these measures are derived and their utility in applications involving signal detection and estimation is established. Examples are presented to illustrate the calculation of degrees of nonstationarity for several types of cyclostationary signals.
The design of a CMOS VLSI chip to perform real-time iterative deconvolution is presented. A bit-level systolic array architecture for convolution, multiplication, and addition is used to implement the circuit. A brief...
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The design of a CMOS VLSI chip to perform real-time iterative deconvolution is presented. A bit-level systolic array architecture for convolution, multiplication, and addition is used to implement the circuit. A brief introduction to the iterative deconvolution problem is also given. Simulations done to data have shown that the systolic array portions of the chip will yield satisfactory throughput for millions of iterations per second.< >
作者:
A.K. OjhaD.B. KochCommunications
Information and Signal Processing (CISP) Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA
The authors investigate the performance of PN (pseudonoise) codes and complementary codes in an additive white Gaussian noise (AWGN) environment from a detection standpoint, and they provide a comparison of the perfor...
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The authors investigate the performance of PN (pseudonoise) codes and complementary codes in an additive white Gaussian noise (AWGN) environment from a detection standpoint, and they provide a comparison of the performance of these two coding methods in a pulsed radar context. A general method of choosing a cost function is proposed to compare the two coding schemes. Simulation results are presented which demonstrate that, for the AWGN channel model used, the complementary coded signals can provide improved performance over PN coded signals in practical pulsed radar systems.< >
作者:
T.D. RobinsonD.B. KochCommunications
Information and Signal Processing (CISP) Group Department of Electrical & Computer Engineering University of Tennessee Knoxville TN USA
Expressions are developed which can be used to determine the false-detection performance of complementary codes. The false-detection performance of complementary phase codes for various bit-error rates is presented an...
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Expressions are developed which can be used to determine the false-detection performance of complementary codes. The false-detection performance of complementary phase codes for various bit-error rates is presented and verified through simulation. It is shown that all complementary phase code pairs of the same length perform equally when preceded by random data. This shows that the performance of a two-sequence codeword depends only on the combined autocorrelation properties of the two sequences. When preceded by recovery data, all complementary phase code pairs are not found to perform equally; however, one pair (01001000, 10111000) is found to be nearly optimum for all five bit-error probabilities.< >
作者:
R.B. WhittedP.B. CrillyCommunications
Information and Signal Processing (CISP) Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA
A VLSI DSP chip is presented that will significantly improve the processing throughput for a general class of iterative deconvolution algorithms. The design will be based on a systolic array concept. This will enable ...
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A VLSI DSP chip is presented that will significantly improve the processing throughput for a general class of iterative deconvolution algorithms. The design will be based on a systolic array concept. This will enable these algorithms to be used for real time DSP applications which formerly due to speed limitations were not possible. The increased class of applications will enable further understanding of these applications. The higher throughput will also enable the researcher to further take advantage of the features unique to iterative deconvolution.< >
作者:
NARAYANAN, VMANELA, MLADE, RKSARKAR, TKDepartment of Electrical and Computer Engineering
Syracuse University Syracuse New York 13244-1240 Viswanathan Narayanan was born in Bangalore
India on December 14 1965. He received the BE degree in Electronics and Communications from B.M.S. College of Engineering Bangalore in 1988. He joined the Department of Electrical Engineering at Syracuse University for his graduate studies in 1989 where he is currently a research assistant. His research interests are in microwave measurements numerical electromagnetics and signal processing. Biographies and photos are not available for M. Manela and R. K. Lade.Tapan K. Sarkar (Sf69-M'76-SM'X1) was born in Calcutta. India
on August 2 1948. He received the BTech degree from the Indian Institute of Technology Kharagpur India in 1969 the MScE degree from the University of New Brunswick Fredericton Canada in 1971. and the MS and PhD degrees from Syracuse University. Syracuse NY in 1975. From 1975-1976 he was with the TACO Division of the General Instruments Corporation. He was with the Rochester Institute of Technology (Rochester NY) from 1976-1985. He was a Research Fellow at the Gordon Mckay Laboratory Harvard University Cambridge MA from 1977 to 1978. He is now a Professor in the Department of Electrical and Computer Engineering Syracuse University. His current research interests deal with numerical solutions of operator equations arising in electromagnetics and signal processing with application to system design. He obtained one of the “ best solution” awards in May 1977 at the Rome Air Development Center (RADC) Spectral Estimation Workshop. He has authored or coauthored more than 154 journal articles and conference papers and has written chapters in eight books. Dr. Sarkar is a registered professional engineer in the state of New York. He received the Best Paper Award of the IEEE Transactions on Electromagnetic Compatibility in 1979. He was an Associate Editor for feature articles of the lEEE Antennas arid Propagation Sociefy Newsletter and was
Dynamic analysis of waveguide structures containing dielectric and metal strips is presented. The analysis utilizes a finite difference frequency domain procedure to reduce the problem to a symmetric matrix eigenvalue...
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Dynamic analysis of waveguide structures containing dielectric and metal strips is presented. The analysis utilizes a finite difference frequency domain procedure to reduce the problem to a symmetric matrix eigenvalue problem. Since the matrix is also sparse, the eigenvalue problem can be solved quickly and efficiently using the conjugate gradient method resulting in considerable savings in computer storage and time. Comparison is made with the analytical solution for the loaded dielectric waveguide case. For the microstrip case, we get both waveguide modes and quasi-TEM modes. The quasi-TEM modes in the limit of zero frequency are checked with the static analysis which also uses finite difference. Some of the quasi-TEM modes are spurious. This article describes their origin and discusses how to eliminate them. Numerical results are presented to illustrate the principles.
作者:
G. GovindP.A. RamamoorthyM. L. 30
Signal Processing and Computer Vision Group Department of Electrical and Computer Engineering University of Cincinnati Cincinnati OH USA
The similarities and differences between the conventional Volterra series techniques and the neural network approach are discussed. The analysis is done from the point of view of representation capabilities for nonlin...
The similarities and differences between the conventional Volterra series techniques and the neural network approach are discussed. The analysis is done from the point of view of representation capabilities for nonlinear systems, and it is shown that a small neural network can represent high-order nonlinear systems, whereas a very large number of terms are required for an equivalent Volterra series representation. This is shown by means of a series expansion of a neural network. Issues common to the two nonlinear modeling approaches are analyzed
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